Industries like manufacturing and marketing are using data to predict outcomes, which is something that is of obvious value to the healthcare industry. Healthcare has been rigorously collecting data for a long time, so the historical data needed to predict future outcomes already exists—it just needs to be digitized, organized and built into workflow. Once that happens, data can help providers make predictions that can improve outcomes.
For instance, car manufacturers are able to predict when a machine will fail by monitoring data from vibrations on cam shafts, engine temperatures and other areas. If you translate that to the human body—just another type of machine— having different types of data can help draw insights about probable outcomes, like whether a patient may be at risk for readmission.